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100%, Zurich, fixed-term The Chair of Computational Mechanics of Building Materials in the Institute for Building Materials at ETH Zurich has an opening for a PhD student in self-emerging
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of renewable energy and storage systems. PhD on Occupant-centric flexibility quantification and dispatch Your tasks In the framework of MSCA DN CoDEF project, we are looking for a motivated and experienced PhD
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hubs, multi-energy grids, and integration of renewable energy and storage systems. Your tasks In the framework of MSCA DN CoDEF project, we are looking for a motivated and experienced PhD candidate
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. Professorship in Pathogen Evolution (ETH Zurich and Eawag) is seeking a highly motivated PhD Candidate to study drug resistance evolution in various pathogens through population genetic modelling. Project
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Your position The successful candidate will conduct high-level scientific research towards a PhD, contribute to an ongoing research project on e-bike sharing, and develop and pursue his/her own
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range of analytical techniques such as HPLC-MS. The two PhD student projects will focus on expanding the measurement capability of the instrument developed by Utinger et al., 2023, and characterise in
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100%, Zurich, fixed-term The Climate Geology group is looking for a curious and motivated PhD candidate interested in combining careful laboratory analyses and model-data comparison to understand
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100%, Zurich, fixed-term The ETH Professorship for Practical Philosophy in the department for Humanities, Social and Political sciences offers a PhD positions in practical philosophy (Prof. Dr. Dr
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100%, Zurich, fixed-term The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a doctoral student to develop predictive methods for identifying sustainable chemicals and their production processes. The research endeavor is part of the project NCCR Catalysis, which...
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. Professorship in Pathogen Evolution (ETH Zurich and Eawag) is seeking a highly motivated PhD Candidate to study drug resistance evolution in various pathogens through population genetic modelling and